public class TensorflowImageRecParser extends ExternalParser implements ObjectRecogniser
ObjectRecogniser
powered by Tensorflow
convolutional neural network (CNN). This implementation binds to Python API using ExternalParser
.
Environment Setup:
TensorflowRESTRecogniser
,
Serialized FormExternalParser.LineConsumer
INPUT_FILE_TOKEN, OUTPUT_FILE_TOKEN
Constructor and Description |
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TensorflowImageRecParser() |
Modifier and Type | Method and Description |
---|---|
Set<MediaType> |
getSupportedMimes()
The mimes supported by this recogniser
|
void |
initialize(Map<String,Param> params)
This is the hook for configuring the recogniser
|
boolean |
isAvailable()
Is this service available
|
List<RecognisedObject> |
recognise(InputStream stream,
ContentHandler handler,
Metadata metadata,
ParseContext context)
Recognise the objects in the stream
|
check, check, getCommand, getIgnoredLineConsumer, getMetadataExtractionPatterns, getSupportedTypes, getSupportedTypes, parse, setCommand, setIgnoredLineConsumer, setMetadataExtractionPatterns, setSupportedTypes
parse
public Set<MediaType> getSupportedMimes()
ObjectRecogniser
getSupportedMimes
in interface ObjectRecogniser
public boolean isAvailable()
ObjectRecogniser
isAvailable
in interface ObjectRecogniser
true
when the service is available, false
otherwisepublic void initialize(Map<String,Param> params) throws TikaConfigException
ObjectRecogniser
initialize
in interface Initializable
initialize
in interface ObjectRecogniser
params
- configuration instance in the form of contextTikaConfigException
- when there is an issue with configurationpublic List<RecognisedObject> recognise(InputStream stream, ContentHandler handler, Metadata metadata, ParseContext context) throws IOException, SAXException, TikaException
ObjectRecogniser
recognise
in interface ObjectRecogniser
stream
- content streamhandler
- tika's content handlermetadata
- metadata instancecontext
- parser contextRecognisedObject
sIOException
- when an I/O error occursSAXException
- when an issue with XML occursTikaException
- any generic errorCopyright © 2007–2017 The Apache Software Foundation. All rights reserved.